Membership inference attacks against transfer learning for generalized model

Membership inference attacks against transfer learning for generalized model

For the problem of poor performance of exciting membership inference attack (MIA) when facing the transfer learning model that is generalized, the MIA for the transfer learning model that is generalized was first systematically studied, the anomaly detection was designed to obtain vulnerable data sa...

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Bibliographic Details
Main Authors: Jinyin CHEN, Wenchang SHANGGUAN, Jingjing ZHANG, Haibin ZHENG, Yayu ZHENG, Xuhong ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2021-10-01
Series:Tongxin xuebao
Subjects:
membership inference attack
deep learning
transfer learning
privacy risk
generalized model
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021209/
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